Modelling and Forecasting Immunization against Measles Disease in Burundi Using Artificial Neural Networks (ANN)
Abstract
In this research article, the ANN approach was applied to analyze child
immunization rate against in Burundi. The employed annual data covers the
period 1982-2019 and the out-of-sample period ranges over the period 2020-2030.
The residuals and forecast evaluation criteria (Error, MSE and MAE) of the
applied model indicate that the model is stable. The ANN (12, 12, 1) model
projections suggest that child immunization will generally be around 88% per
annum over the next 10 years in Burundi. The government is encouraged to
intensify child health surveillance and control programs in line with the
suggested policy directions.
Country : Zimbabwe
1 Mr. Takudzwa. C. Maradze2 Dr. Smartson. P. NYONI3 Mr. Thabani NYONI
Independent Researcher, Harare, Zimbabwe
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
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